Neural decoding is a powerful method to analyze neural activity. However, the code needed to run a decoding analysis can be complex, which can present a barrier to using the method. In this paper we introduce a package that makes it easy to perform decoding analyses in the R programing language. We describe how the package is designed in a modular fashion which allows researchers to easily implement a range of different analyses. We also discuss how to format data to be able to use the package, and we give two examples of how to use the package to analyze real data. We believe that this package, combined with the rich data analysis ecosystem in R, will make it significantly easier for researchers to create reproducible decoding analyses, which should help increase the pace of neuroscience discoveries.

中文翻译：

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NeuroDecodeR：R 中的神经解码包

神经解码是分析神经活动的强大方法。然而，运行解码分析所需的代码可能很复杂，这可能会给使用该方法带来障碍。在本文中，我们介绍了一个包，可以轻松地在 R 编程语言中执行解码分析。我们描述了该软件包如何以模块化方式设计，使研究人员能够轻松实施一系列不同的分析。我们还讨论了如何格式化数据以便能够使用该包，并给出了两个示例来说明如何使用该包来分析真实数据。我们相信，该软件包与 R 中丰富的数据分析生态系统相结合，将使研究人员更轻松地创建可重复的解码分析，这将有助于加快神经科学发现的步伐。